AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Using EventBridge integration, filtered positional updates are published to an EventBridge event bus.

Analytics 94

Analytics IoT Metadata Internet of Things 94

Cloudera

FEBRUARY 21, 2023

SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience. This might be OK for some cases.

Data Transformation 111

Data Transformation Data Processing Data Collection Publishing 111

CIO Business Intelligence

FEBRUARY 13, 2024

Using data and analytics to preserve the rainforest The Smart Rainforest initiative goes beyond data collection. It uses advanced data analytics and AI to derive meaningful insights from the vast amounts of information gathered.

IoT 59

IoT Internet of Things Machine Learning Data Collection 59

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Cloudera

SEPTEMBER 15, 2021

That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks. Fast-changing Data.

IoT 120

IoT Analytics Internet of Things Data Lake 120

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Energy: Forecast long-term price and demand ratios.

Predictive Analytics 136

Predictive Analytics Analytics Predictive Modeling Forecasting 136

CDW Research Hub

APRIL 18, 2022

Many security operations centers (SOCs) are finding themselves overwhelmed by telemetry data to correlate, a proliferation of tools, expanding attack surfaces that are challenging to monitor and secure, and data silos across security and IT products, security information and event management (SIEM) systems, enterprise data, and threat intelligence.

Data Lake 75

Data Lake Enterprise Data Collection Risk 75

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data. Predictive Business Analytics.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

Rita Sallam

AUGUST 28, 2022

The Analytics and BI Show Floor Showdown presenters in company alphabetical order were: Domo, EQ Technologic, iGenius, LTI Lumin by Fosfor, Tellius and ThoughtSpot. We also gave the demo script and data set to all vendors in the Exhibit Hall for inclusion in this post event blog. Oracle chose to do so this year.

Analytics 52

Analytics Data Analytics Cost-Benefit Measurement 52

Jen Stirrup

APRIL 16, 2024

Today’s post is a summit roundup with highlights from Day 1 of the event. ” Artificial Intelligence and Data: The Fuel for Green Hydrogen's Growth To optimize the production and supply chain of green hydrogen, stakeholders at the summit underlined the need for comprehensive data collection and analysis. .”

Data Processing 58

Data Processing Data-driven Optimization Forecasting 58

Sisense

OCTOBER 15, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Getting your streaming data to work for you.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

CIO Business Intelligence

JULY 5, 2022

Business analytics can help you improve operational efficiency, better understand your customers, project future outcomes, glean insights to aid in decision-making, measure performance, drive growth, discover hidden trends, generate leads, and scale your business in the right direction, according to digital skills training company Simplilearn.

Business Analytics 122

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 122

CIO Business Intelligence

JULY 5, 2022

NTT, which partners with Penske Entertainment for the NTT Indycar Series, including the Indy 500 race, collected an estimated 8 billion data points through the sensors on Ericsson’s car and that of his 32 competitors. On a given race day, it is the second-largest city in Indiana,” Indart says.

Recreation/Entertainment 92

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 92

IBM Big Data Hub

JUNE 8, 2023

By harnessing the power of watsonx generative AI capabilities and pre-trained foundation models, IBM could potentially analyze large volumes of data collected from various sources, such as satellite imagery, BluBoxx TM underwater sensors, and historical records, to identify patterns and predict potential threats to coral reefs.

Technology 77

Technology Measurement Cost-Benefit Data-driven 77

CIO Business Intelligence

JULY 1, 2022

NTT, which partners with Penske Entertainment for the NTT Indycar Series, including the Indy 500 race, collected an estimated 8 billion data points through the sensors on Ericsson’s car and that of his 32 competitors. On a given race day, it is the second-largest city in Indiana,” Indart says.

Recreation/Entertainment 85

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 85

CIO Business Intelligence

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Regulation: Lawmakers worldwide are considering privacy legislation and other rules that could limit the scope of data collection and AI use cases.

Advertising 82

Advertising Recreation/Entertainment Experimentation Enterprise 82

erwin

JUNE 11, 2020

Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Apply real-time data in marketing strategies. Real-time data analytics can be used by businesses to better meet customer needs as it arises and improve customer satisfaction. Expanding big data.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

IBM Big Data Hub

FEBRUARY 14, 2024

These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. They can also help businesses predict future events and understand why past events occurred. AIOps is one of the fastest ways to boost ROI from digital transformation investments. Robots handle and move physical objects.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Smart Data Collective

FEBRUARY 14, 2023

We have discussed the compelling role that data analytics plays in various industries. In December, we shared five key ways that data analytics can help businesses grow. The gaming industry is among those most affected by breakthroughs in data analytics. Creation and control of event funnels.

Big Data 118

Big Data Data Analytics Analytics Testing 118

Smart Data Collective

MAY 6, 2019

In other words, these companies want autonomous vehicles that are navigating complex city environments by themselves and without the assistance of a human driver who can take over in the event of an emergency. It’s a matter of trust.

Management 104

Management Insurance Data Collection Cost-Benefit 104

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data.

Manufacturing 91

Manufacturing Cost-Benefit Data Lake Optimization 91

datapine

JULY 8, 2020

Such a real-time dashboard ensures productivity increment and centralized data collection that enables executives to overcome numerous operational challenges within their line of work. When you complete data management processes with an (automated) COO report and intelligent alarms, any business anomaly will not go unnoticed.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

Smart Data Collective

DECEMBER 17, 2020

Many discussions about the EHR implementation with big data are centered around the automation of physicians’ tasks and making the life of medical staff easier. However, electronic health records can improve the convenience of clinical services for patients as well, which is why improving data collection is so important.

Data-driven 117

Data-driven Big Data Software Risk 117

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Andrew White

MARCH 31, 2023

By about the mid-point of the event, the first overall theme or key take-away started to become clear to me. I wonder of much of this money went to data, analytics and AI? The two I visited demoed a rather mundane explanation of the standard analytics pipeline. I hosted 25 1-1s in between the meetings and presentations.

Analytics 40

Analytics Marketing Visualization Data-driven 40

IBM Big Data Hub

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high. Upcoming events.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

CIO Business Intelligence

FEBRUARY 6, 2023

BI can help you in the following ways: Identify market trends: Managers and analysts can use data collected from various sources to identify upcoming and maturing products in the market and changing consumer consumption patterns. They can then use this data to measure the company’s sales performance and predict future outcomes.

Business Intelligence 62

Business Intelligence Forecasting Marketing Sales 62

Alation

APRIL 11, 2023

This may have been through upselling or cross-selling based on data collected about you with a sprinkling of personalization. Retain customers Every company needs a customer retention strategy, with a winback plan in the event that a customer disengages or has a negative experience. Curious to learn more?

Sales 52

Sales Interactive Marketing Strategy 52

IBM Big Data Hub

AUGUST 11, 2023

They can create and distribute information across the production line, dispatching work orders and work instructions based on trigger events. Data analytics and reporting: The MES software should provide comprehensive analytics and reporting capabilities, allowing you to track and analyze KPIs, production trends and efficiency metrics.

Software 68

Software Manufacturing Cost-Benefit ROI 68

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. But few organizations have made the strategic shift to managing “data as a product.”

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104

Cloudera

AUGUST 20, 2021

Analytical Velocity: CDP offers experiences that can meet different analytical velocity requirements e.g., batch or real-time analytics. Data Types and Sources: The multitude of data experiences enable efficient processing of different data types, such as structured and unstructured data collected from any potential source.

Strategy 98

Strategy Cost-Benefit Visualization Data Warehouse 98

Occam's Razor

APRIL 13, 2015

Switch to User-ID by implementing Universal Analytics.]. We are also limited to the data Analytics collects by default. The bit we add to it is unique to our business, hence difficult for any analytics tool to address by default. I would love to hear what parts of Analytics do you consider to be a hidden gem ?

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

Sisense

JUNE 9, 2021

Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds. The data collected by these devices is used to design personalized training plans. These developments have added a whole new dimension to data analysis.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

datapine

APRIL 11, 2019

Rather than listing facts, figures, and statistics alone, people used gripping, imaginative timelines, bestowing raw data with real context and interpretation. In turn, this gripped listeners, immersing them in the narrative, thereby offering a platform to absorb a series of events in their mind’s eye precisely the way they unfolded.

Dashboards 169

Dashboards Visualization Data-driven Key Performance Indicator 169